



import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
   from .tokenization_barthez import BarthezTokenizer
else:
   _lowercase    	=		None

_lowercase    	=		logging.get_logger(__name__)

_lowercase    	=		{"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

_lowercase    	=		{
    "vocab_file": {
        "moussaKam/mbarthez": "https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model",
        "moussaKam/barthez": "https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model",
        "moussaKam/barthez-orangesum-title": (
            "https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model"
        ),
    },
    "tokenizer_file": {
        "moussaKam/mbarthez": "https://huggingface.co/moussaKam/mbarthez/resolve/main/tokenizer.json",
        "moussaKam/barthez": "https://huggingface.co/moussaKam/barthez/resolve/main/tokenizer.json",
        "moussaKam/barthez-orangesum-title": (
            "https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/tokenizer.json"
        ),
    },
}

_lowercase    	=		{
    "moussaKam/mbarthez": 1024,
    "moussaKam/barthez": 1024,
    "moussaKam/barthez-orangesum-title": 1024,
}

_lowercase    	=		"▁"



class      _UpperCAmelCase      (							__lowerCAmelCase  ):
     UpperCamelCase__		     =					VOCAB_FILES_NAMES
     UpperCamelCase__		     =					PRETRAINED_VOCAB_FILES_MAP
     UpperCamelCase__		     =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     UpperCamelCase__		     =					['''input_ids''', '''attention_mask''']
     UpperCamelCase__		     =					BarthezTokenizer




     def __init__(					self			,    a__=None			,    a__=None			,    a__="<s>"			,    a__="</s>"			,    a__="</s>"			,    a__="<s>"			,    a__="<unk>"			,    a__="<pad>"			,    a__="<mask>"			,    **a__			,    ):
         A__					=       AddedToken(lowerCamelCase_			,    lstrip=lowerCamelCase_			,    rstrip=lowerCamelCase_) if isinstance(lowerCamelCase_			,    lowerCamelCase_) else mask_token

         super().__init__(
             lowerCamelCase_			,    tokenizer_file=lowerCamelCase_			,    bos_token=lowerCamelCase_			,    eos_token=lowerCamelCase_			,    unk_token=lowerCamelCase_			,    sep_token=lowerCamelCase_			,    cls_token=lowerCamelCase_			,    pad_token=lowerCamelCase_			,    mask_token=lowerCamelCase_			,    **lowerCamelCase_			,    )

         A__					=       vocab_file
         A__					=       False if not self.vocab_file else True




     def 		snake_case_		(					self			,    a__			,    a__ = None):


         if token_ids_a is None:
             return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
         A__					=       [self.cls_token_id]
         A__					=       [self.sep_token_id]
         return cls + token_ids_a + sep + sep + token_ids_a + sep




     def 		snake_case_		(					self			,    a__			,    a__ = None):
         A__					=       [self.sep_token_id]
         A__					=       [self.cls_token_id]

         if token_ids_a is None:
             return len(cls + token_ids_a + sep) * [0]
         return len(cls + token_ids_a + sep + sep + token_ids_a + sep) * [0]




     def 		snake_case_		(					self			,    a__			,    a__ = None):


         if not self.can_save_slow_tokenizer:
             raise ValueError(
                 '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
                 '''tokenizer.''')

         if not os.path.isdir(lowerCamelCase_):
             logger.error(F"Vocabulary path ({save_directory}) should be a directory")
             return
         A__					=       os.path.join(
             lowerCamelCase_			,    (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''])

         if os.path.abspath(self.vocab_file) != os.path.abspath(lowerCamelCase_):
             copyfile(self.vocab_file			,    lowerCamelCase_)

         return (out_vocab_file,)

def 			lowercase(	UpperCamelCase_ = 100       )		->	int:







 '''simple docstring'''
 UpperCamelCase			  =      n * (n + 1) * (2 * n + 1) / 6
 UpperCamelCase			  =      (n * (n + 1) / 2) ** 2
 return int(square_of_sum - sum_of_squares       )


if __name__ == "__main__":
     print(F'''{solution() = }''')
